Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。

Keras implementation of RetinaNet object detection.

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Example code to accompany the book Programming Robots with ROS

Convert images in a rosbag to a video

Reads and displays values and images in a ROSBag file

This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.

Forecasting pollen counts with Pytorch

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

CNN and LSTM model for text recognition

This is the code for the "How to do Object Detection with OpenCV" live session by Siraj Raval on Youtube

Quick Application about retraining the Google Inception v3 model

Uses Deep Learning to Sort Wastes into their Corresponding Trash Categories

Deep learning for time-series prediction. A generic neural network which takes in time series, and optimizes using sgd in real-time.

Time series prediction project for Information Retrieval and Data Mining(COMPGI15)

Filters CSV files of wind sites and generates parameters and features used in predicting wind power using NumPy in Python. Evaluates performance of 7 different ML algorithms using Scikit-Learn and …

AI for predicting wind power from historical wind data and wind forecasts

Wind Turbine Fault Detection. Newer version @ https://github.com/lkev/wtphm

This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.

host load prediction with Long Short-Term Memory in cloud computing

Predict traffic flow with LSTM. For experimental purposes only, unsupported!

A web app for displaying a forecast of my weight using an LSTM DL model trained on historical weight, calories, and physical activity data.

Forecasting the power generated by wind turbines using Deep Neural Networks and Clustering Approach

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

An LSTM for time-series classification

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Electricity load forecasting with LSTM (Recurrent Neural Network)